AI Dataset Preparation Project for IRC Conversation Disentanglement
Collected, cleaned, and preprocessed conversational datasets for training an IRC conversation disentanglement model. Reviewed conversation threads, performed data validation, and applied dataset quality assurance checks to improve label consistency. Structured training data for machine learning model development and evaluation using common AI training pipeline practices. • Curated and validated annotated conversation datasets • Preprocessed raw chat data sourced from Kaggle • Organized conversation threads for dataset consistency • Performed QA checks and structured training inputs